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Parameter Estimation in Biokinetic Degradation Models in Wastewater Treatment—A Novel Approach Relevant for Micropollutant Removal

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Abstract

In this paper a novel methodology for estimating the parameters for an extended biokinetic model (Peev, Schönerklee, and De Wever, Water Science and Technology, 2004) of micropollutant removal in wastewater treatment is presented. In particular, the work concentrates on parameter estimation of the micropollutant degradation sub-model by specialised microorganisms in the case when only substrate measurement data are available. We have proven the structural identifiability of the model and have developed a new approach allowing practical identifiability on the basis of multiple substrate degradation curves with different initial concentrations. Experimental and related numerical methods for unambiguous parameter estimation have been developed. Finally, by means of simulated pseudo-experiments we have found convincing indications that the proposed algorithm is stable and yields appropriate parameter estimates even in unfavourable regimes.

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Abbreviations

X :

biomass (μg COD l−1)

S :

substrate (μg COD l−1)

μ :

growth rate (d−1)

μ max :

maximum growth rate (day−1)

K s :

saturation constant (μg COD l−1)

Y :

growth yield

b :

biomass decay rate (day−1)

t :

time (day)

mp:

micropollutant

0:

initial condition at t = 0

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Acknowledgement

The presented work was carried out within the framework of the project PTHREE (www.pthree.de) financed under contract number EVK1-CT-2002-00116 by the European Commission (FP5).

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Authors and Affiliations

  1. Austrian Research Centers GmbH-ARC, 2444, Seibersdorf, Austria

    Monika Schoenerklee & Momtchil Peev

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  1. Monika Schoenerklee
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  2. Momtchil Peev
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Correspondence to Monika Schoenerklee.

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Schoenerklee, M., Peev, M. Parameter Estimation in Biokinetic Degradation Models in Wastewater Treatment—A Novel Approach Relevant for Micropollutant Removal. Water Air Soil Pollut 196, 89–99 (2009). https://doi.org/10.1007/s11270-008-9759-z

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  • DOI: https://doi.org/10.1007/s11270-008-9759-z

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